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Vision-language models can significantly enhance language models through knowledge distillation, even without direct textual understanding, challenging conventional KD paradigms.
HateMirage reveals that detecting subtle hate speech emerging from misinformation requires more than just scaling up models; pretraining diversity and reasoning-oriented data are key.
